The experience of warfare [1,2] has shown that forecasting the likely scale of actions of the air enemy is one of the urgent issues that are being resolved by the chiefs of air defense, commanders of anti-aircraft units and headquarters during the planning of air defense and the conduct of combat operations. It allows you to determine the possible options for actions of the air enemy, to build or improve the air defense system (ADS) accordingly in order to ensure its sufficient effectiveness. The practice of air defense planning shows that when using traditional methods of forecasting the actions of the air adversary [3,4], an unacceptable overestimation or underestimation of the possible scope of the use of air attack means (AAM) is obtained. The forecasting results should be objective, because even minor changes in, say, the number of cruise missiles (CM), unmanned aerial vehicles (UAV) by subdivision and units significantly affect the required effectiveness of the air defense system [5]. In order to obtain more accurate results, a method of forecasting the possible scale of the air enemy’s actions is proposed by determining the size of the required AAM outfits to inflict damage on the main objects of subdivisions and military units that are taking cover in battle. The methodology can be included in the information and analytical system of ensuring decision-making processes for the creation of air defense systems of different levels of hierarchy.
Was conducted a study of the features of modern simulation software (MSS) in order to clarify the patterns underlying the information technology of these tools. The issue of the application of simulation systems regarding the aspects of extraction, accumulation, generalization and use of reliable information becomes a priority. It was established that obtaining the most effective version of the decision, during the simulation of the process of its adoption, is possible on the basis of the improvement of the intelligence information support system. The results of the study show that the main direction of solving this problem is the information and technical unification of all intelligence information systems of the means of armed struggle into the integration information space of databases for their presentation to users of simulation systems in a unified form.
Combat capabilitie sofunits of the Special Operations Forces of the Armed Forces of Ukraine during the involvementin the OOS and capacity building (acquisition of newones) during the preparation for dutyinthe NATO Response Force wereanalyzed. There sults of the basictraining course for the spy of the National Guard of Ukraine are given. Special units of the Armed Forces play an important role in the implementation of the Joint Forces operation in eastern Ukraine. During the performance of specific tasks, special forces units not only conducted reconnaissance (special measures) at important enemy targets, but also provided for the deployment of units of the Armed Forces to fire. The experience of recent armed conflicts shows that the most effective fire defeat of the enemy is possible with the maximum integration of means and forces of detection (intelligence). The tool for such integration, as well as for increasing the combat capabilities of special forces (Special Operations Forces), is the involvement in the NATO Operational Force and Capabilities Concept (hereinafter referred to as the Concept). The concept of NATOꞌs operational forces and capabilities is, in essence, a clear set of requirements for the unit involved in the assessment and sets a clear goal for the unit's command. With each assessment, the unit is faced with more and more requirements, for which the unit must be qualitatively transformed in accordance with NATO guidelines and act in accordance with their protocols. Protocols are a unified procedure and are the same for all types of troops. Since the last assessment, the unit has achieved its main goal ‒ full interoperability with NATO units and the ability to perform tasks in any operational area as efficiently as possible.
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